Intelligent additive manufacturing and design: state of the art and future perspectives
In additive manufacturing (AM), intelligent technologies are proving to be a powerful tool for
facilitating economic, efficient, and effective decision-making within the product and service …
facilitating economic, efficient, and effective decision-making within the product and service …
Three-dimensional printing and medical imaging: a review of the methods and applications
A Marro, T Bandukwala, W Mak - Current problems in diagnostic radiology, 2016 - Elsevier
The purpose of this article is to review recent innovations on the process and application of 3-
dimensional (3D) printed objects from medical imaging data. Data for 3D printed medical …
dimensional (3D) printed objects from medical imaging data. Data for 3D printed medical …
Latent-nerf for shape-guided generation of 3d shapes and textures
Text-guided image generation has progressed rapidly in recent years, inspiring major
breakthroughs in text-guided shape generation. Recently, it has been shown that using …
breakthroughs in text-guided shape generation. Recently, it has been shown that using …
Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Recent advances in 3D content creation mostly leverage optimization-based 3D generation
via score distillation sampling (SDS). Though promising results have been exhibited, these …
via score distillation sampling (SDS). Though promising results have been exhibited, these …
Delicate textured mesh recovery from nerf via adaptive surface refinement
Abstract Neural Radiance Fields (NeRF) have constituted a remarkable breakthrough in
image-based 3D reconstruction. However, their implicit volumetric representations differ …
image-based 3D reconstruction. However, their implicit volumetric representations differ …
Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans
Computer vision now relies on data, but we know surprisingly little about what factors in the
data affect performance. We argue that this stems from the way data is collected. Designing …
data affect performance. We argue that this stems from the way data is collected. Designing …
Tango: Text-driven photorealistic and robust 3d stylization via lighting decomposition
Creation of 3D content by stylization is a promising yet challenging problem in computer
vision and graphics research. In this work, we focus on stylizing photorealistic appearance …
vision and graphics research. In this work, we focus on stylizing photorealistic appearance …
Removing objects from neural radiance fields
S Weder, G Garcia-Hernando… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRFs) are emerging as a ubiquitous scene
representation that allows for novel view synthesis. Increasingly, NeRFs will be shareable …
representation that allows for novel view synthesis. Increasingly, NeRFs will be shareable …
Pixel2mesh: Generating 3d mesh models from single rgb images
We propose an end-to-end deep learning architecture that produces a 3D shape in
triangular mesh from a single color image. Limited by the nature of deep neural network …
triangular mesh from a single color image. Limited by the nature of deep neural network …
Open3D: A modern library for 3D data processing
Open3D is an open-source library that supports rapid development of software that deals
with 3D data. The Open3D frontend exposes a set of carefully selected data structures and …
with 3D data. The Open3D frontend exposes a set of carefully selected data structures and …